Progressive mesh-based HTTP adaptive augmented reality streaming system

Hyunmin Noh; Gi Seok Park; Hwangjun Song

doi:10.1109/LCN52139.2021.9524992

Progressive mesh-based HTTP adaptive augmented reality streaming system

Hyunmin Noh
, Gi Seok Park
, Hwangjun Song

Division of Electronic Engineering

Pohang University of Science and Technology
Dongguk University

Research output: Contribution to conference › Conference paper › peer-review

1 Scopus citations

Abstract

This work presents a progressive mesh-based HTTP adaptive augmented reality (AR) streaming system that provides high quality AR streaming services with low latency over a time-varying wireless network. In the proposed system, a progressive mesh is employed to support the scalability of AR streaming services, a novel meta-file is proposed to efficiently provide the rate and view-dependent quality information. By using this meta-file, the proposed system determines the next request chunk to enhance human visual perceptual quality considering the view-dependent projected images of AR objects on the screen. The proposed system is realized using open sources (e.g., Android, OpenCV, OpenGL, and Nexus). Finally, experimental results are given to verify the performance improvement of the proposed system.

Original language	English
Title of host publication	Proceedings of the IEEE 46th Conference on Local Computer Networks, LCN 2021
Editors	Lyes Khoukhi, Sharief Oteafy, Eyuphan Bulut
Publisher	IEEE Computer Society
Pages	257-264
Number of pages	8
ISBN (Electronic)	9780738124766
DOIs	https://doi.org/10.1109/LCN52139.2021.9524992
State	Published - 2021.10.4
Event	46th IEEE Conference on Local Computer Networks, LCN 2021 - Edmonton, Canada Duration: 2021.10.4 → 2021.10.7

Publication series

Name	Proceedings - Conference on Local Computer Networks, LCN
Volume	2021-October

Conference

Conference	46th IEEE Conference on Local Computer Networks, LCN 2021
Country/Territory	Canada
City	Edmonton
Period	21.10.4 → 21.10.7

Keywords

Augmented reality streaming
Meta-file
Progressive mesh
Visual perceptual quality

Access to Document

10.1109/LCN52139.2021.9524992

Cite this

Noh, H., Park, G. S., & Song, H. (2021). Progressive mesh-based HTTP adaptive augmented reality streaming system. In L. Khoukhi, S. Oteafy, & E. Bulut (Eds.), Proceedings of the IEEE 46th Conference on Local Computer Networks, LCN 2021 (pp. 257-264). (Proceedings - Conference on Local Computer Networks, LCN; Vol. 2021-October). IEEE Computer Society. https://doi.org/10.1109/LCN52139.2021.9524992

@inproceedings{c4ffc3e58ad14c7cac994b16bc3b8e98,

title = "Progressive mesh-based HTTP adaptive augmented reality streaming system",

abstract = "This work presents a progressive mesh-based HTTP adaptive augmented reality (AR) streaming system that provides high quality AR streaming services with low latency over a time-varying wireless network. In the proposed system, a progressive mesh is employed to support the scalability of AR streaming services, a novel meta-file is proposed to efficiently provide the rate and view-dependent quality information. By using this meta-file, the proposed system determines the next request chunk to enhance human visual perceptual quality considering the view-dependent projected images of AR objects on the screen. The proposed system is realized using open sources (e.g., Android, OpenCV, OpenGL, and Nexus). Finally, experimental results are given to verify the performance improvement of the proposed system.",

keywords = "Augmented reality streaming, Meta-file, Progressive mesh, Visual perceptual quality",

author = "Hyunmin Noh and Park, \{Gi Seok\} and Hwangjun Song",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 46th IEEE Conference on Local Computer Networks, LCN 2021 ; Conference date: 04-10-2021 Through 07-10-2021",

year = "2021",

month = oct,

day = "4",

doi = "10.1109/LCN52139.2021.9524992",

language = "English",

series = "Proceedings - Conference on Local Computer Networks, LCN",

publisher = "IEEE Computer Society",

pages = "257--264",

editor = "Lyes Khoukhi and Sharief Oteafy and Eyuphan Bulut",

booktitle = "Proceedings of the IEEE 46th Conference on Local Computer Networks, LCN 2021",

}

Noh, H, Park, GS & Song, H 2021, Progressive mesh-based HTTP adaptive augmented reality streaming system. in L Khoukhi, S Oteafy & E Bulut (eds), Proceedings of the IEEE 46th Conference on Local Computer Networks, LCN 2021. Proceedings - Conference on Local Computer Networks, LCN, vol. 2021-October, IEEE Computer Society, pp. 257-264, 46th IEEE Conference on Local Computer Networks, LCN 2021, Edmonton, Canada, 21.10.4. https://doi.org/10.1109/LCN52139.2021.9524992

Progressive mesh-based HTTP adaptive augmented reality streaming system. / Noh, Hyunmin; Park, Gi Seok; Song, Hwangjun.
Proceedings of the IEEE 46th Conference on Local Computer Networks, LCN 2021. ed. / Lyes Khoukhi; Sharief Oteafy; Eyuphan Bulut. IEEE Computer Society, 2021. p. 257-264 (Proceedings - Conference on Local Computer Networks, LCN; Vol. 2021-October).

Research output: Contribution to conference › Conference paper › peer-review

TY - GEN

T1 - Progressive mesh-based HTTP adaptive augmented reality streaming system

AU - Noh, Hyunmin

AU - Park, Gi Seok

AU - Song, Hwangjun

PY - 2021/10/4

Y1 - 2021/10/4

N2 - This work presents a progressive mesh-based HTTP adaptive augmented reality (AR) streaming system that provides high quality AR streaming services with low latency over a time-varying wireless network. In the proposed system, a progressive mesh is employed to support the scalability of AR streaming services, a novel meta-file is proposed to efficiently provide the rate and view-dependent quality information. By using this meta-file, the proposed system determines the next request chunk to enhance human visual perceptual quality considering the view-dependent projected images of AR objects on the screen. The proposed system is realized using open sources (e.g., Android, OpenCV, OpenGL, and Nexus). Finally, experimental results are given to verify the performance improvement of the proposed system.

AB - This work presents a progressive mesh-based HTTP adaptive augmented reality (AR) streaming system that provides high quality AR streaming services with low latency over a time-varying wireless network. In the proposed system, a progressive mesh is employed to support the scalability of AR streaming services, a novel meta-file is proposed to efficiently provide the rate and view-dependent quality information. By using this meta-file, the proposed system determines the next request chunk to enhance human visual perceptual quality considering the view-dependent projected images of AR objects on the screen. The proposed system is realized using open sources (e.g., Android, OpenCV, OpenGL, and Nexus). Finally, experimental results are given to verify the performance improvement of the proposed system.

KW - Augmented reality streaming

KW - Meta-file

KW - Progressive mesh

KW - Visual perceptual quality

UR - https://www.scopus.com/pages/publications/85118459824

U2 - 10.1109/LCN52139.2021.9524992

DO - 10.1109/LCN52139.2021.9524992

M3 - Conference paper

AN - SCOPUS:85118459824

T3 - Proceedings - Conference on Local Computer Networks, LCN

SP - 257

EP - 264

BT - Proceedings of the IEEE 46th Conference on Local Computer Networks, LCN 2021

A2 - Khoukhi, Lyes

A2 - Oteafy, Sharief

A2 - Bulut, Eyuphan

PB - IEEE Computer Society

T2 - 46th IEEE Conference on Local Computer Networks, LCN 2021

Y2 - 4 October 2021 through 7 October 2021

ER -

Progressive mesh-based HTTP adaptive augmented reality streaming system

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this